Triple

T16245138
Position Surface form Disambiguated ID Type / Status
Subject Lugano District E394351 entity
Predicate contains P35 FINISHED
Object Bedigliora E641584 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bedigliora | Statement: [Lugano District, contains, Bedigliora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedigliora
Context triple: [Lugano District, contains, Bedigliora]
  • A. Bedigliora chosen
    Bedigliora is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting near Lake Lugano.
  • B. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • C. Montegiorgio
    Montegiorgio is a small Italian town and municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • D. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • E. Borgotaro
    Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:04 a.m.